About Me

• Graduate Teaching Assistant in the Department of Computer Science & Engineering at the University of Moratuwa.
• M.Sc. (Research) in Computer Science and Engineering from the University of Moratuwa, specializing in Data Science and Machine Learning.
• Senior Software Engineer in the DataSEARCH - Data Science, Engineering, and Analytics Research Center at the University of Moratuwa.
• Associate Member of the Institution of Engineers Sri Lanka (IESL).
• B.Sc. Engineering (Hons) in Computer Science and Engineering (Washington Accord Accredited) from the University of Moratuwa.
• Student Contributor at Google Summer of Code - Apache Software Foundation.

My research interests primarily center around Data Science, Machine Learning, and Big Data.

Publications:

Citations: 228, h-index: 5, i10-index: 5

1. Evaluation of Manual and Video-Based Automated Classified Vehicle Counting Methods for Heterogeneous Traffic Flow
   Authors: Perera RAPUS, Herath HMOK, Ayesha B, Sivakumar T, Kumarage AS, Perera AS
   Published in: Eastern Asia Society for Transportation Studies, September 2021 (Vol. 13)

2. User Localization Based on Call Detail Records
   Authors: Ayesha B, Jeewanthi B, Chitraranjan C, Perera AS, Kumarage AS
   Published in: International Conference on Intelligent Data Engineering and Automated Learning, November 2019 (pp. 411-423), Springer, Cham

3. Legal Document Retrieval Using Document Vector Embeddings and Deep Learning
   Authors: Sugathadasa K, Ayesha B, De Silva N, Perera AS, Jayawardana V, Lakmal D, Perera M
   Published in: Science and information conference, July 2018 (pp. 160-175), Springer, Cham

4. Synergistic Union of Word2vec and Lexicon for Domain Specific Semantic Similarity
   Authors: Sugathadasa K, Ayesha B, De Silva N, Perera AS, Jayawardana V, Lakmal D, Perera M
   Published in: IEEE international conference on industrial and information systems (ICIIS), December 2017 (pp. 1-6), IEEE

5. Word vector embeddings and domain specific semantic based semi-supervised ontology instance population
   Authors: Jayawardana V, Lakmal D, De Silva N, Perera AS, Sugathadasa K, Ayesha B, Perera M
   Published in: International Journal on Advances in ICT for Emerging Regions, December 2017

Patents:

PCT Patent: Breath Monitoring Devices, Systems and Methods
Filed in: Singapore, Publication Date: Jul 2020
WO/2020/141999
Description: A portable earphone for monitoring breathing through the ear canal of a human. The earpiece device consists of microphones to pick signals of internal turbulences in an ear canal and send processed signals to mobile phones for further analysis. These signals may be used to control mobile games and monitor breathing via mobile phones.